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pdf-toolbox-mcp

pdf-toolbox-mcp

by twoer
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Python
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 25 tools

    Disambiguation4/5

    Most tools target distinct PDF operations, but a few have overlapping boundaries: tool_redact and tool_redact_text both perform redaction via different input modes, and tool_doctor/tool_dependency_status both serve diagnostic purposes. The descriptions are generally clear enough to route correctly, so the overlap is manageable rather than confusing.

    Naming Consistency4/5

    All tools follow a consistent snake_case style with a uniform tool_ prefix, and most use a verb_noun pattern like tool_merge_pdfs or tool_extract_text. A few names deviate into noun phrases or question style (tool_doctor, tool_dependency_status, tool_is_searchable), but these are minor exceptions in an otherwise predictable naming scheme.

    Tool Count3/5

    25 tools sits at the heavy end of the ideal range for a PDF toolbox; each tool does target a genuine PDF operation, but the count is borderline and could feel sprawling. Grouping or reducing some of the more granular diagnostic tools might have made the surface tighter.

    Completeness4/5

    The surface covers the main PDF lifecycle well: inspection, text extraction, OCR, merge/split, rotation, redaction, compression, encryption, forms, metadata, and sanitization. Obvious gaps remain, such as creating a PDF from scratch, deleting/reordering pages, digital signing, or watermarking, but these are not core to the demonstrated purpose and can be worked around.

    Maintenance

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    Resources